All Stories

  1. Using Outlier Detection to Identify Grey-Sheep Users in Recommender Systems: A Comparative Study
  2. A Comprehensive Analysis of ACM SIGITE 2003 - 2023 Publications Using LitStudy
  3. Designing a FAQ Chatbot to Enhance Faculty Support
  4. Academic Writing by Using Latex: A Hands-on Workshop
  5. ChatGPT for Teaching and Learning: An Experience from Data Science Education
  6. Multi-Objective Portfolio Optimization Towards Sustainable Investments
  7. Multi-Criteria Ranking by Using Relaxed Pareto Ranking Methods
  8. Multi-Criteria Decision Making and Recommender Systems
  9. A Comparison of Students’ Learning Behaviors and Performance Among Pre, During and Post COVID-19 Pandemic
  10. Pressure Test: Finding Appropriate Data Size for Practice in Data Science Education
  11. FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services
  12. A Family of Neural Contextual Matrix Factorization Models for Context-Aware Recommendations
  13. DeepCARSKit: A Demo and User Guide
  14. A survey of recommender systems with multi-objective optimization
  15. Non-dominated differential context modeling for context-aware recommendations
  16. Multi-Objective Recommendations
  17. The role of transparency in multi-stakeholder educational recommendations
  18. A Comparison of Tools and Libraries for In-Class Face Detection and Emotion Recognition
  19. Fill Students' Knowledge Gap by Recommending Remedial Learning Materials
  20. SIGITE and SIGCSE Symposiums
  21. Ride-Share Analysis in Boston City
  22. Predictive Staffing Model for Transit Security
  23. Recommendation for Multi-stakeholders and through Neural Review Mining
  24. A Course on Applied AI and Data Science
  25. Exploratory Analysis of Chicago Taxi Rides
  26. A Comparison of Tools for Teaching and Learning Data Analytics
  27. Bikesharing
  28. Multi-stakeholder recommendations
  29. Personalized Educational Learning with Multi-Stakeholder Optimizations
  30. Context-aware recommendations via sequential predictions
  31. Integrating context-awareness and multi-criteria decision making in educational learning
  32. Utility-based multi-criteria recommender systems
  33. Personality-Aware Decision Making In Educational Learning